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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 1601
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    Explanations

    information related to news events and incidents

    oai_token-act-pair · gpt-3.5-turbo

    elements related to violence or casualties in news reports or narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Chicago
    -0.77
     Topics
    -0.77
    OPA
    -0.75
     Spokane
    -0.72
     Delaware
    -0.71
    Madison
    -0.70
     Pebble
    -0.69
     inception
    -0.69
    Scot
    -0.69
    Colorado
    -0.67
    POSITIVE LOGITS
     Mahmoud
    1.18
     weeping
    1.14
     Homs
    1.04
     Mohammed
    1.04
     Kurd
    1.03
     Abu
    1.03
     shouted
    1.02
    ewitness
    1.02
     Kurdish
    1.01
     Rohingya
    1.00
    Activations Density 0.434%

    No Known Activations